This notebook contains a set of analyses for analyzing DTLibrary boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
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We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine a predictive model trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
DTLibrary | training | published before 2020 | 1,379 | 0 |
DTLibrary | validation | published 2020 | 179 | 0 |
DTLibrary | test | published after 2020 | 170 | 0 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features.
We can examine coefficients from the model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | In_Collection | All_Games | Ratio |
DTLibrary | Pandasaurus Games | 2.0% | 0.1% | 14.89 |
DTLibrary | Days Of Wonder | 1.7% | 0.2% | 11.00 |
DTLibrary | Mechanism Tableau Building | 5.9% | 0.6% | 10.01 |
DTLibrary | Artist Vincent Dutrait | 2.0% | 0.3% | 6.69 |
DTLibrary | Stronghold Games | 3.6% | 0.7% | 5.27 |
DTLibrary | Has Miniatures | 9.6% | 2.2% | 4.36 |
DTLibrary | Dice With Icons | 4.7% | 1.2% | 4.05 |
DTLibrary | Iello | 6.5% | 1.6% | 3.94 |
DTLibrary | Asmodee | 10.9% | 3.2% | 3.39 |
DTLibrary | Pegasus Spiele | 8.8% | 2.8% | 3.12 |
DTLibrary | Games With Solitaire Rules | 18.2% | 5.9% | 3.08 |
DTLibrary | ZMan Games | 6.0% | 2.0% | 2.96 |
DTLibrary | Fantasy Flight Games | 4.5% | 1.7% | 2.62 |
DTLibrary | Wizards Of The Coast | 1.3% | 0.6% | 2.08 |
DTLibrary | Crowdfunding Kickstarter | 26.4% | 13.0% | 2.03 |
DTLibrary | Rio Grande Games | 5.7% | 3.0% | 1.90 |
DTLibrary | Combinatorial | 2.8% | 1.7% | 1.66 |
DTLibrary | Card Game | 26.2% | 31.4% | 0.83 |
DTLibrary | Wargame | 5.8% | 16.3% | 0.36 |
DTLibrary | Selfpublished | 0.6% | 2.0% | 0.29 |
DTLibrary | Collectible Components | 0.5% | 2.1% | 0.24 |
DTLibrary | Roll Spin And Move | 1.2% | 6.2% | 0.20 |
DTLibrary | Childrens Game | 1.2% | 7.1% | 0.17 |
DTLibrary | Solitaire Only Games | 0.2% | 1.6% | 0.13 |
DTLibrary | Chitpull System | 0.0% | 1.2% | 0.00 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can display this information in table form, displaying the 100 games with the highest probability of ownership, adding a blue line when the user does own the game.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2018 | 199792 | Everdell | 0.999 | yes |
2 | 2018 | 244711 | Newton | 0.998 | yes |
3 | 2019 | 286096 | Tapestry | 0.997 | yes |
4 | 2019 | 270971 | Era: Medieval Age | 0.983 | yes |
5 | 2007 | 31260 | Agricola | 0.983 | no |
6 | 2016 | 193738 | Great Western Trail | 0.980 | no |
7 | 2006 | 25417 | BattleLore | 0.978 | no |
8 | 2014 | 148228 | Splendor | 0.968 | yes |
9 | 2012 | 117915 | Yedo | 0.967 | no |
10 | 2018 | 205896 | Rising Sun | 0.962 | yes |
11 | 2019 | 266810 | Paladins of the West Kingdom | 0.959 | yes |
12 | 2013 | 140620 | Lewis & Clark: The Expedition | 0.959 | yes |
13 | 2019 | 266192 | Wingspan | 0.957 | yes |
14 | 2018 | 236457 | Architects of the West Kingdom | 0.956 | yes |
15 | 2011 | 70919 | Takenoko | 0.956 | yes |
16 | 2015 | 163968 | Elysium | 0.955 | yes |
17 | 2019 | 251247 | Barrage | 0.954 | yes |
18 | 2011 | 96848 | Mage Knight Board Game | 0.953 | no |
19 | 2017 | 174430 | Gloomhaven | 0.950 | no |
20 | 2018 | 235544 | Specter Ops: Broken Covenant | 0.948 | no |
21 | 2019 | 265736 | Tiny Towns | 0.945 | yes |
22 | 2013 | 143693 | Glass Road | 0.941 | yes |
23 | 2016 | 191862 | Imhotep | 0.937 | yes |
24 | 2015 | 175878 | 504 | 0.935 | yes |
25 | 2017 | 221194 | Dinosaur Island | 0.932 | yes |
26 | 2015 | 172386 | Mombasa | 0.930 | yes |
27 | 2018 | 222219 | Kero | 0.927 | no |
28 | 2016 | 200680 | Agricola (Revised Edition) | 0.927 | yes |
29 | 2012 | 120677 | Terra Mystica | 0.926 | yes |
30 | 2016 | 177736 | A Feast for Odin | 0.925 | yes |
31 | 2019 | 265285 | Queenz: To Bee or Not to Bee | 0.921 | no |
32 | 2017 | 188920 | This War of Mine: The Board Game | 0.921 | yes |
33 | 2016 | 205059 | Mansions of Madness: Second Edition | 0.920 | yes |
34 | 2017 | 162886 | Spirit Island | 0.919 | yes |
35 | 2017 | 199561 | Sagrada | 0.913 | yes |
36 | 2012 | 111341 | The Great Zimbabwe | 0.913 | no |
37 | 2012 | 105551 | Archipelago | 0.913 | yes |
38 | 2010 | 70512 | Luna | 0.912 | yes |
39 | 2019 | 281946 | Aftermath | 0.911 | yes |
40 | 2016 | 185589 | Islebound | 0.909 | yes |
41 | 2004 | 10630 | Memoir '44 | 0.906 | yes |
42 | 2018 | 246192 | Gizmos | 0.906 | yes |
43 | 2017 | 195539 | The Godfather: Corleone's Empire | 0.903 | yes |
44 | 2012 | 123260 | Suburbia | 0.903 | yes |
45 | 2014 | 147253 | The Ancient World | 0.900 | no |
46 | 2018 | 244992 | The Mind | 0.900 | yes |
47 | 2018 | 247236 | Duelosaur Island | 0.899 | yes |
48 | 2008 | 38453 | Space Alert | 0.898 | yes |
49 | 2014 | 150926 | Roll Through the Ages: The Iron Age | 0.897 | no |
50 | 2018 | 214887 | CO₂: Second Chance | 0.897 | no |
51 | 2014 | 157809 | Nations: The Dice Game | 0.893 | yes |
52 | 2019 | 242653 | Mysthea | 0.892 | yes |
53 | 2019 | 265684 | Subtext | 0.891 | yes |
54 | 2014 | 154203 | Imperial Settlers | 0.891 | yes |
55 | 2019 | 260710 | Amul | 0.889 | no |
56 | 2010 | 25292 | Merchants & Marauders | 0.887 | yes |
57 | 2014 | 164153 | Star Wars: Imperial Assault | 0.886 | yes |
58 | 2019 | 253344 | Cthulhu: Death May Die | 0.885 | yes |
59 | 2019 | 264220 | Tainted Grail: The Fall of Avalon | 0.885 | yes |
60 | 2019 | 283863 | The Magnificent | 0.883 | yes |
61 | 2019 | 266507 | Clank!: Legacy – Acquisitions Incorporated | 0.882 | yes |
62 | 2012 | 126163 | Tzolk'in: The Mayan Calendar | 0.881 | yes |
63 | 2016 | 204615 | StarFall | 0.881 | no |
64 | 2015 | 163967 | Tiny Epic Galaxies | 0.881 | yes |
65 | 2015 | 155624 | Specter Ops | 0.876 | yes |
66 | 2014 | 168609 | Artifacts, Inc. | 0.872 | yes |
67 | 2015 | 177639 | Raptor | 0.871 | yes |
68 | 2002 | 3076 | Puerto Rico | 0.867 | yes |
69 | 2015 | 171623 | The Voyages of Marco Polo | 0.867 | yes |
70 | 2019 | 262712 | Res Arcana | 0.864 | yes |
71 | 2018 | 192296 | The Pirate Republic | 0.857 | no |
72 | 2012 | 40765 | Clash of Cultures | 0.855 | no |
73 | 2015 | 172818 | Above and Below | 0.854 | yes |
74 | 2008 | 37380 | Roll Through the Ages: The Bronze Age | 0.853 | yes |
75 | 2019 | 262543 | Wavelength | 0.852 | yes |
76 | 2012 | 104162 | Descent: Journeys in the Dark (Second Edition) | 0.852 | no |
77 | 2017 | 223953 | Kitchen Rush | 0.850 | yes |
78 | 2018 | 256643 | Neon Gods | 0.844 | no |
79 | 2013 | 144041 | Patchistory | 0.843 | yes |
80 | 2019 | 285774 | Marvel Champions: The Card Game | 0.842 | yes |
81 | 2018 | 209324 | The World of SMOG: Rise of Moloch | 0.841 | yes |
82 | 2018 | 219832 | Barbarians: The Invasion | 0.841 | yes |
83 | 2012 | 131366 | Eight-Minute Empire | 0.841 | yes |
84 | 2019 | 284435 | Nova Luna | 0.839 | yes |
85 | 2019 | 269385 | The Lord of the Rings: Journeys in Middle-Earth | 0.838 | yes |
86 | 2018 | 222509 | Lords of Hellas | 0.837 | yes |
87 | 2012 | 124708 | Mice and Mystics | 0.835 | yes |
88 | 2018 | 262215 | Blackout: Hong Kong | 0.834 | yes |
89 | 2015 | 178900 | Codenames | 0.833 | yes |
90 | 2013 | 133528 | City of Remnants | 0.832 | no |
91 | 2012 | 118048 | Targi | 0.832 | yes |
92 | 2017 | 201825 | Ex Libris | 0.831 | yes |
93 | 2015 | 168435 | Between Two Cities | 0.830 | no |
94 | 2019 | 270836 | Imperial Settlers: Roll & Write | 0.829 | yes |
95 | 2009 | 39683 | At the Gates of Loyang | 0.829 | yes |
96 | 2019 | 217576 | Hellenica: Story of Greece | 0.827 | no |
97 | 2015 | 161936 | Pandemic Legacy: Season 1 | 0.826 | no |
98 | 2018 | 218509 | Empires of the Void II | 0.825 | yes |
99 | 2019 | 282524 | Horrified | 0.824 | yes |
100 | 2018 | 257726 | Brikks | 0.821 | no |
We can also more formally assess how well the model did in resampling by looking at the area under the receiver operating characteristic. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think DTLibrary is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2007 | 31260 | Agricola | 0.983 | no |
2016 | 193738 | Great Western Trail | 0.980 | no |
2006 | 25417 | BattleLore | 0.978 | no |
2012 | 117915 | Yedo | 0.967 | no |
2011 | 96848 | Mage Knight Board Game | 0.953 | no |
What games does the model think DTLibrary is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
1982 | 1705 | Slapshot | 0.003 | yes |
1935 | 1406 | Monopoly | 0.004 | yes |
1979 | 442 | Um Reifenbreite | 0.006 | yes |
1876 | 521 | Crokinole | 0.008 | yes |
1964 | 5 | Acquire | 0.009 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Yedo | Lewis & Clark: The Expedition | Splendor | Elysium | Great Western Trail | Gloomhaven | Everdell | Tapestry |
2 | Terra Mystica | Glass Road | The Ancient World | 504 | Imhotep | Dinosaur Island | Newton | Era: Medieval Age |
3 | The Great Zimbabwe | Patchistory | Roll Through the Ages: The Iron Age | Mombasa | Agricola (Revised Edition) | This War of Mine: The Board Game | Rising Sun | Paladins of the West Kingdom |
4 | Archipelago | City of Remnants | Nations: The Dice Game | Tiny Epic Galaxies | A Feast for Odin | Spirit Island | Architects of the West Kingdom | Wingspan |
5 | Suburbia | Eight-Minute Empire: Legends | Imperial Settlers | Specter Ops | Mansions of Madness: Second Edition | Sagrada | Specter Ops: Broken Covenant | Barrage |
6 | Tzolk'in: The Mayan Calendar | Euphoria: Build a Better Dystopia | Star Wars: Imperial Assault | Raptor | Islebound | The Godfather: Corleone's Empire | Kero | Tiny Towns |
7 | Clash of Cultures | City of Iron | Artifacts, Inc. | The Voyages of Marco Polo | StarFall | Kitchen Rush | Gizmos | Queenz: To Bee or Not to Bee |
8 | Descent: Journeys in the Dark (Second Edition) | Time 'n' Space | Kill Shakespeare | Above and Below | Coal Baron: The Great Card Game | Ex Libris | The Mind | Aftermath |
9 | Eight-Minute Empire | Rococo | La Granja | Codenames | Pandemic: Reign of Cthulhu | Twilight Imperium: Fourth Edition | Duelosaur Island | Mysthea |
10 | Mice and Mystics | Firefly: The Game | Istanbul | Between Two Cities | Lorenzo il Magnifico | Clans of Caledonia | CO₂: Second Chance | Subtext |
11 | Targi | Sushi Go! | AquaSphere | Pandemic Legacy: Season 1 | Star Wars: Rebellion | Arcadia Quest: Inferno | The Pirate Republic | Amul |
12 | Keyflower | Tash-Kalar: Arena of Legends | Deus | Drakon (Fourth Edition) | Aeon's End | Crossfire | Neon Gods | Cthulhu: Death May Die |
13 | Zombicide | BattleLore: Second Edition | Castles of Mad King Ludwig | Through the Ages: A New Story of Civilization | Roll Player | Charterstone | The World of SMOG: Rise of Moloch | Tainted Grail: The Fall of Avalon |
14 | Snowdonia | Nations | Orléans | The Pursuit of Happiness | 51st State: Master Set | Deckscape: The Fate of London | Barbarians: The Invasion | The Magnificent |
15 | Il Vecchio | Cappuccino | Deception: Murder in Hong Kong | The Game | The Manhattan Project: Energy Empire | Century: Golem Edition | Lords of Hellas | Clank!: Legacy – Acquisitions Incorporated |
16 | Wiz-War (Eighth Edition) | Bruxelles 1893 | Akrotiri | Council of 4 | Santorini | Wendake | Blackout: Hong Kong | Res Arcana |
17 | Starship Merchants | Impulse | The Staufer Dynasty | Thunderbirds | Cottage Garden | Indian Summer | Empires of the Void II | Wavelength |
18 | Among the Stars | Eldritch Horror | Colt Express | Runebound (Third Edition) | Pandemic: Iberia | Coaster Park | Brikks | Marvel Champions: The Card Game |
19 | Escape: The Curse of the Temple | The Phantom Society | Patchwork | Pirates of the 7 Seas | Yokohama | Massive Darkness | Reykholt | Nova Luna |
20 | Open Sesame | Dungeon Roll | Black Fleet | Inhabit the Earth | New Angeles | Outlive | The River | The Lord of the Rings: Journeys in Middle-Earth |
21 | Kairo | Terror in Meeple City | Dogs of War | Discoveries: The Journals of Lewis & Clark | La Granja: No Siesta | Pandemic: Rising Tide | Nemesis | Imperial Settlers: Roll & Write |
22 | Ginkgopolis | Bruges | Sons of Anarchy: Men of Mayhem | The Gallerist | Inis | Pandemic Legacy: Season 2 | Railroad Ink: Deep Blue Edition | Hellenica: Story of Greece |
23 | Machi Koro | SOS Titanic | Sheriff of Nottingham | Magic: The Gathering – Arena of the Planeswalkers | Tyrants of the Underdark | The Quest for El Dorado | New Frontiers | Horrified |
24 | New Amsterdam | Citrus | Camel Up | Mission: Red Planet (Second Edition) | Black Orchestra | Unfair | Black Mirror: NOSEDIVE | Black Angel |
25 | Tokaido | Steam Park | Abyss | The Bloody Inn | Jórvík | Red Scare | Century: Eastern Wonders | Villagers |
Interactive table for predictions from resampling.
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
DTLibrary | owned | validation | glmnet | roc_auc | 0.816 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 184267 | On Mars | 0.927 | yes |
2020 | 252153 | Tang Garden | 0.901 | yes |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.888 | yes |
2020 | 276090 | Icaion | 0.884 | yes |
2020 | 256999 | Project: ELITE | 0.872 | yes |
2020 | 233262 | Tidal Blades: Heroes of the Reef | 0.865 | yes |
2020 | 298371 | Wild Space | 0.862 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.857 | yes |
2020 | 292333 | Cowboys II: Cowboys & Indians Edition | 0.851 | no |
2020 | 318983 | Faiyum | 0.842 | yes |
2020 | 316412 | The LOOP | 0.836 | yes |
2020 | 306040 | Merv: The Heart of the Silk Road | 0.835 | yes |
2020 | 316546 | Clever Cubed | 0.832 | no |
2020 | 271055 | Dwellings of Eldervale | 0.828 | yes |
2020 | 296626 | Sonora | 0.826 | yes |
2020 | 312484 | Lost Ruins of Arnak | 0.805 | yes |
2020 | 312318 | Century: Golem Edition – An Endless World | 0.801 | yes |
2020 | 227224 | The Red Cathedral | 0.795 | yes |
2020 | 301880 | Raiders of Scythia | 0.780 | yes |
2020 | 276551 | Mysthea: The Fall | 0.779 | no |
2020 | 316554 | Dune: Imperium | 0.760 | yes |
2020 | 284742 | Honey Buzz | 0.760 | yes |
2020 | 245658 | Unicorn Fever | 0.757 | yes |
2020 | 293556 | Gloomy Graves | 0.753 | no |
2020 | 303057 | Pan Am | 0.751 | yes |
2020 | 316377 | 7 Wonders (Second Edition) | 0.738 | yes |
2020 | 312804 | Pendulum | 0.731 | no |
2020 | 282922 | Windward | 0.727 | no |
2020 | 311193 | Anno 1800 | 0.727 | yes |
2020 | 302723 | Forgotten Waters | 0.726 | yes |
2020 | 286160 | Godspeed | 0.718 | yes |
2020 | 294484 | Unmatched: Cobble & Fog | 0.718 | yes |
2020 | 291511 | Medici: The Dice Game | 0.716 | no |
2020 | 317985 | Beyond the Sun | 0.715 | yes |
2020 | 308765 | Praga Caput Regni | 0.714 | yes |
2020 | 298047 | Marvel United | 0.707 | yes |
2020 | 309113 | Ticket to Ride: Amsterdam | 0.702 | yes |
2020 | 299047 | Disney Villainous: Perfectly Wretched | 0.699 | yes |
2020 | 319223 | Sleeping Gods: Primeval Peril | 0.695 | no |
2020 | 248125 | Monumental | 0.690 | yes |
2020 | 300322 | Hallertau | 0.689 | yes |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.684 | no |
2020 | 265784 | Cleopatra and the Society of Architects: Deluxe Edition | 0.683 | no |
2020 | 300583 | Village Green | 0.674 | no |
2020 | 303672 | Trek 12: Himalaya | 0.672 | no |
2020 | 306735 | Under Falling Skies | 0.671 | no |
2020 | 232414 | Oceans | 0.669 | yes |
2020 | 313531 | Rustling Leaves | 0.666 | no |
2020 | 295949 | Adventure Games: The Grand Hotel Abaddon | 0.665 | no |
2020 | 256509 | The One Hundred Torii | 0.663 | yes |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 50 games for upcoming games, highlighting in blue ones the user already.
Published | ID | Name | Pr(Owned) | Owned |
2022 | 310873 | Carnegie | 0.979 | no |
2022 | 331106 | The Witcher: Old World | 0.966 | no |
2021 | 332944 | Sobek: 2 Players | 0.965 | no |
2021 | 343905 | Boonlake | 0.938 | yes |
2022 | 305096 | Endless Winter: Paleoamericans | 0.929 | no |
2021 | 317457 | Dinosaur World | 0.926 | yes |
2022 | 319807 | Shogun no Katana | 0.917 | no |
2021 | 285967 | Ankh: Gods of Egypt | 0.912 | no |
2021 | 299255 | Vienna Connection | 0.891 | no |
2021 | 282776 | Tumble Town | 0.882 | yes |
2022 | 304051 | Creature Comforts | 0.879 | yes |
2021 | 318560 | Witchstone | 0.877 | yes |
2021 | 340237 | Wonder Book | 0.865 | no |
2022 | 326945 | Castles of Mad King Ludwig: Collector's Edition | 0.862 | no |
2021 | 341169 | Great Western Trail (Second Edition) | 0.862 | yes |
2021 | 298102 | Roll Camera!: The Filmmaking Board Game | 0.850 | yes |
2021 | 249277 | Brazil: Imperial | 0.845 | no |
2022 | 284189 | Foundations of Rome | 0.844 | yes |
2021 | 289550 | Lions of Lydia | 0.842 | yes |
2021 | 332386 | Brew | 0.831 | yes |
2021 | 342942 | Ark Nova | 0.829 | yes |
2022 | 322289 | Darwin's Journey | 0.828 | no |
2022 | 295770 | Frosthaven | 0.824 | no |
2021 | 331549 | MiniQuest Adventures | 0.822 | no |
2022 | 266018 | Trinidad | 0.822 | no |
2021 | 340466 | Unfathomable | 0.821 | yes |
2022 | 324090 | Scarface 1920 | 0.810 | no |
2021 | 283387 | Rocketmen | 0.800 | yes |
2021 | 318009 | Dinosaur Island: Rawr 'n Write | 0.796 | no |
2021 | 304783 | Hadrian's Wall | 0.788 | yes |
2021 | 295947 | Cascadia | 0.786 | yes |
2023 | 337627 | Voidfall | 0.781 | no |
2022 | 280726 | Legacies | 0.778 | no |
2021 | 336382 | Marvel United: X-Men | 0.777 | yes |
2021 | 320446 | Corduba 27 a.C. | 0.776 | no |
2021 | 344258 | That Time You Killed Me | 0.770 | yes |
2021 | 319899 | Decktective: Nightmare in the Mirror | 0.769 | no |
2021 | 306881 | Railroad Ink Challenge: Lush Green Edition | 0.767 | no |
2021 | 318084 | Furnace | 0.759 | yes |
2021 | 273330 | Bloodborne: The Board Game | 0.755 | yes |
2021 | 340364 | Machi Koro 2 | 0.745 | no |
2022 | 317511 | Tindaya | 0.743 | no |
2021 | 255984 | Sleeping Gods | 0.740 | no |
2021 | 260524 | Beyond Humanity: Colonies | 0.739 | no |
2022 | 311988 | Frostpunk: The Board Game | 0.729 | no |
2021 | 330038 | Llamaland | 0.724 | yes |
2021 | 322708 | Descent: Legends of the Dark | 0.723 | yes |
2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.721 | yes |
2021 | 341048 | Free Ride | 0.719 | no |
2021 | 305761 | Whale Riders | 0.713 | no |